Jacobo Diego Sitt

This study shows that heart rate synchronization between individuals occurs during conscious processing of narrative stimuli and is reduced when attention is distracted.

The paper develops a framework to distinguish brain states by their stability and reversibility, using whole-brain models to analyze consciousness levels and their response to perturbations.

This paper introduces multiscale criticality measures (MsCr) to assess brain function across disorders by analyzing MEG and EEG data.

This paper uses a deep learning framework to quantify non-equilibrium in brain activity, showing higher levels during tasks than rest and distinguishing between health and neuropsychiatric diseases.

This study shows that tDCS applied to the prefrontal cortex improves behavior and EEG markers of consciousness in some DoC patients.

The paper demonstrates that slow cortico-cortical connectivity (2-5Hz) is a robust marker distinguishing conscious from unconscious states across multiple experimental conditions.

The paper introduces a new behavioral tool called 'DoC-feeling' that uses aggregated nursing staff assessments to detect the Minimally Conscious State with high accuracy.